Evidence map›Paper›PMID 37296949›Full record

ReviewCancers2023

Modeling the Tumor Microenvironment and Cancer Immunotherapy in Next-Generation Humanized Mice.

Anna Chen, Ines Neuwirth, Dietmar Herndler-Brandstetter

Abstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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  6. Choosing the right animal model for sarcoma research.Cellular and molecular life sciences : CMLS · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Anna ChenCenter for Cancer Research, Medical University of Vienna and Comprehensive Cancer Center, 1090 Vienna, Austria.
Ines NeuwirthCenter for Cancer Research, Medical University of Vienna and Comprehensive Cancer Center, 1090 Vienna, Austria.
Dietmar Herndler-BrandstetterCenter for Cancer Research, Medical University of Vienna and Comprehensive Cancer Center, 1090 Vienna, Austria.ORCID 0000-0003-0987-0208

Funding

Austrian Science Fund FWF DOC 59FWF Austrian Science Fund doc.funds PhD program IPPTO (DOC 59-B33; D.H.-B.)Vienna Science and Technology Fund WWTF [10.47379/LS20042] (D.H.-B.)
6 · The paper itself

Abstract

Cancer immunotherapy has brought significant clinical benefits to numerous patients with malignant disease. However, only a fraction of patients experiences complete and durable responses to currently available immunotherapies. This highlights the need for more effective immunotherapies, combination treatments and predictive biomarkers. The molecular properties of a tumor, intratumor heterogeneity and the tumor immune microenvironment decisively shape tumor evolution, metastasis and therapy resistance and are therefore key targets for precision cancer medicine. Humanized mice that support the engraftment of patient-derived tumors and recapitulate the human tumor immune microenvironment of patients represent a promising preclinical model to address fundamental questions in precision immuno-oncology and cancer immunotherapy. In this review, we provide an overview of next-generation humanized mouse models suitable for the establishment and study of patient-derived tumors. Furthermore, we discuss the opportunities and challenges of modeling the tumor immune microenvironment and testing a variety of immunotherapeutic approaches using human immune system mouse models.

Indexed as

avatarchimeric antigen receptor (CAR)colorectal cancerhumanized miceimmune checkpoint blockadeimmuno-oncologymetastasisPDXprecision oncology

Identifiers

PMID37296949
PMCPMC10251926

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.